We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for prediction.
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prediction Product List and Ranking from 35 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Sep 09, 2026~Oct 06, 2026
This ranking is based on the number of page views on our site.

prediction Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Sep 09, 2026~Oct 06, 2026
This ranking is based on the number of page views on our site.

  1. AI CROSS Tokyo//Information and Communications
  2. データリソース Tokyo//others
  3. マグナ・インターナショナル・ジャパン マグナパワートレイン・ECS(Engieering Center Steyr) Tokyo//Automobiles and Transportation Equipment
  4. 4 パルメトリクス Saitama//Testing, Analysis and Measurement
  5. 5 null/null

prediction Product ranking

Last Updated: Aggregation Period:Sep 09, 2026~Oct 06, 2026
This ranking is based on the number of page views on our site.

  1. FEMFAT weld extension module: Fatigue life prediction of welded joints マグナ・インターナショナル・ジャパン マグナパワートレイン・ECS(Engieering Center Steyr)
  2. Maximum size prediction of non-metallic inclusions using extreme value statistics. 大同分析リサーチ
  3. [Market Forecast Publication] World Motorcycle Statistics Yearbook 2026 | Performance + Forecast フォーイン
  4. What is demand forecasting in inventory management? Explanation of benefits, formulas, and the use of AI. AI CROSS
  5. Achieving Maximum Profit! Operating Forecast for New Pachinko Machines Utilizing AI ソホビービー

prediction Product List

61~83 item / All 83 items

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Reliability life prediction using Weibull analysis

Free seminar ongoing! A clear introduction to Weibull analysis.

Weibull analysis is a method that uses the number of failures as input to determine the unreliability. Once the unreliability is known, the failure rate and unreliability can also be determined. Our company regularly holds free seminars on Weibull analysis. We provide clear explanations from the basics of reliability data analysis to an overview of Weibull analysis and representative methods. For more details, please check below. https://www.wavefrontsales.com/teikiseminar/weibull/

  • Other electronic parts
  • Other Auto Parts
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Effect of Deep Predictor Implementation: Prediction of Customer Visits

Forecast the number of customers considering weather and event information. Eliminate waste in shifts and inventory, and improve store profit margins.

One of the challenges that our no-code AI predictive analytics service "Deep Predictor" addresses is the "forecasting of customer foot traffic." By utilizing AI to collect data on past customer visits, weather information, holidays, and other external factors, we model historical patterns. This allows us to make accurate predictions of customer numbers that account for the complexity and variability of the data. Using AI to predict customer foot traffic enhances competitiveness in business and contributes to improved efficiency and customer satisfaction. 【Required Data】 ■ External Factors - Information on how external factors such as weather data, holiday calendars, and local event schedules impact customer numbers. ■ Competitor Information - Sales data and event information from nearby competitors. *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis
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Yield prediction through sensor integration for agriculture.

Support yield forecasting through the efficiency and stabilization of data collection!

In the agricultural sector, various factors such as climate change and soil conditions affect yield. Accurate yield forecasting is essential for timely harvesting and sales strategies. However, traditional data collection methods have been time-consuming and labor-intensive, with limitations in data accuracy. Our sensor integration solution centrally manages data from multiple sensors and efficiently collects the information needed for yield forecasting. 【Use Cases】 - Environmental monitoring of fields (temperature, humidity, sunlight, etc.) - Understanding soil conditions (moisture levels, fertilizer components, etc.) - Visualization of growth conditions 【Benefits of Implementation】 - Data-driven precision cultivation management - Maximization of harvest yield - Cost reduction

  • Company:IDIoT
  • Price:Other
  • Other Sensors
  • Sensors
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Latest Trends and Future Predictions of Generative AI in Manufacturing Industry <Demo Available>

2024 Edition! An explanation of how generative AI is bringing innovation to the manufacturing industry.

Have you ever thought about how the manufacturing industry will change due to generative AI? Right now, various technological revolutions, including generative AI, are bringing significant changes to business around us. In particular, if we seek to improve the efficiency of manufacturing processes, reduce costs, and enhance quality, utilizing generative AI is an unavoidable path. We continue to explore solutions to the various challenges we face in our daily operations. This article will delve into the innovations that generative AI is bringing to the manufacturing industry and how it will change us in the coming years. *For more details about the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

  • Software (middle, driver, security, etc.)
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[English Research Report] 5-Year Forecast for Campus Ethernet Switches

Provides a complete overview of Ethernet switches built and optimized for deployment outside of data centers.

The Dell’Oro Group's "Campus Ethernet Switch 5-Year Forecast Report" provides a comprehensive overview of the 5-year forecast and market trends for campus Ethernet switches. The forecast includes manufacturer revenue by technology, port shipment numbers, and average selling prices. By technology: Modular and fixed, by port speed (integrated/separate) Fixed managed/unmanaged: by port speed (integrated/separate) PoE (Power Over Ethernet) By port speed: 100 Mbps/1/2.5/5/10/25/40/50/100/200/400 Gbps Ethernet switch market - regional campus (manufacturer revenue only) North America, EMEA (Europe, Middle East, Africa), APAC (Asia-Pacific), APAC excluding China, China, CALA (Caribbean and Latin America)

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[English Research Report] 5-Year Forecast for Mobile Core Networks and MEC

Providing market trends for non-NFV and NFV network functions, including revenue, licenses, average selling prices, and regional forecasts for various network functions.

The "Five-Year Forecast Report on Mobile Core Networks and Multi-Access Edge Computing" by the U.S. research firm Deloro Group investigates the mobile core network market and provides a comprehensive overview of market trends by the implementation of network functions (non-NFV and NFV), including revenue, licenses, average selling prices, and regional forecasts for various network functions. Target Market: - 4G/5G Packet Core Controllers - 4G/5G Packet Core Gateways - 4G/5G Policy - 4G/5G Subscriber Data Management - IMS Core By Region: Sales and Number of Shipment Licenses North America, EMEA, Asia-Pacific, China, CALA

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[English Research Report] Predictions for Microwave Transmission and Mobile Backhaul

The mobile backhaul transmission market is expected to reach $24.5 billion in the next five years.

The "5-Year Forecast Report on Microwave Transmission and Mobile Backhaul" by Dell’Oro Group provides comprehensive and detailed information in a table covering manufacturers' revenues, wireless transceivers, and average selling prices. This report tracks front haul and mobile backhaul by cell type (macro and small cell) and technology (wireless and fiber/copper), and the microwave transmission section forecasts point-to-point TDM, packet, hybrid microwave, as well as complete indoor and complete outdoor unit configurations.

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Global Piston Ring Aftermarket - 2031 Forecast

It is predicted to grow from 2.5 billion dollars in 2024 to 3.7 billion dollars in 2031, with a compound annual growth rate (CAGR) of 5.8%.

Fairfield Market Research is a research company that publishes highly relevant market data and insightful detailed reports. The driving force behind the growth of the aftermarket is the increasing need for vehicle repair and maintenance due to vehicle aging and extended lifespans. Technological advancements in piston ring materials, such as ceramic composites and steel alloys, enhance durability and efficiency. A robust distribution network, including e-commerce platforms, ensures the global easy availability of aftermarket products and promotes market expansion. This report provides a detailed analysis of the global piston ring aftermarket. It analyzes the market by ring type, material, engine type, and region, and also discusses the strategies and challenges of key market players in detail.

  • Other Auto Parts
  • prediction

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One-button easy operation for category AI prediction! "Easy AI Development"

With a simple one-button operation, category AI predictions such as customer analysis and failure prediction are possible!

By learning the causal relationships between various past conditions and outcomes, AI can simulate results under any conditions. This can be particularly useful in areas such as customer analysis and failure prediction. "Easy AI Development" 1. Develop a dedicated AI app for your company By developing based on AI app templates and focusing only on the necessary features, we achieve a low price by eliminating waste. We can also flexibly respond to system integration and feature expansion. 2. Propose optimal AI utilization methods AI experts will listen to your challenges and objectives, and propose the most suitable AI tools and business improvement plans. You can feel free to consult with us even if you don't have a specific utilization image in mind. 3. Clear cost structure and start at a low price We have a clear cost structure for each function, allowing for a small start from 100,000 yen. By gradually expanding functions according to usage, we can proceed with implementation while reducing risks. [Service Site] https://career-survival.com/kantan-ai/

  • Business Intelligence and Data Analysis
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[On-Demand Seminar] Introduction of AI Utilization Cases in the Conservation Field

We will introduce examples of fault prediction and accident prevention using AI utilized in the manufacturing industry!

●Overview and Objectives - Recently, the spread of COVID-19 has advanced work style reforms, and in the manufacturing industry, the promotion of DX (Digital Transformation), particularly the use of AI, continues to attract significant attention. To ensure that this does not end as just a buzzword and to fundamentally improve operational efficiency, it is essential to promote projects based on a deep understanding of company-specific challenges in addition to knowledge of AI. - In this course, we will introduce case studies of AI implementation in the manufacturing industry, presented by Cinnamon AI, which has a track record of AI adoption in this sector. We hope that by watching this, you will find hints to solve the challenges you face in your own environment.

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End Market Analysis for Automotive Manufacturers

Ecosystem forecasting and analysis! Detailed demand forecasts for semiconductors and sensors.

In the automotive industry, accurate demand forecasting is essential for product development, production planning, and supply chain management. In particular, the demand for semiconductors and sensors is closely linked to the evolution of automotive functions, making it crucial to understand these trends in order to establish a competitive advantage. TechInsights' End Market Analysis: Automotive provides forecasts and analyses of the automotive electronics-centered ecosystem, tracing back detailed demand for semiconductors and sensors to specific vehicle functions and market share data. This enables automotive manufacturers to accurately predict future demand and formulate appropriate strategies. 【Usage Scenarios】 - Demand forecasting for semiconductors and sensors - Demand forecasting by vehicle function - Market share analysis 【Benefits of Implementation】 - Understanding demand growth forecasts based on realistic data - Insight into trends that affect the automotive user experience - Support for competitive product development and strategic planning

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Trend Prediction AI

Market forecasting system! It will bring a new breeze to the financial sector.

Roboken Co., Ltd. is engaged in AI development inspired by neuroscience. The "Trend Prediction AI" brings a new breeze to the financial sector. We have devised a new feature extraction method called "optimization of mathematical models." This enables objective and logical predictions that do not rely on experience or skills. By changing predictions from regression problems to classification problems, we achieve highly accurate trend predictions in very challenging markets. 【Features】 ■ Enables objective and logical predictions that do not depend on experience or skills ■ Predicts the principal components that drive future price fluctuations ■ Achieves highly accurate trend predictions in very challenging markets *For more details, please refer to the PDF document or feel free to contact us.

  • Other core systems
  • Other information systems
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Fault prediction using AI-FTA for power generation.

Accelerate the identification of the causes of power generation equipment failures and support stable operation.

In the power generation industry, stable operation of equipment is essential, and downtime due to failures can lead to significant losses. Particularly with complex equipment, identifying the cause of a failure can take time, and delays in response can result in further damage or prolonged outages. AI-FTA enables rapid responses by integrating on-site data and assisting in narrowing down the causes of failures. 【Usage Scenarios】 - Power plants - Major equipment such as turbines, boilers, and generators - Identifying causes during failure occurrences 【Benefits of Implementation】 - Reduction in time to identify failure causes - Decrease in the risk of equipment downtime - Assetization of trouble response history

  • boiler
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AI Demand Forecasting Deep Predictor for Food and Beverage

We will streamline the ordering process for ingredients and reduce food waste.

In the food service industry, demand forecasting for ingredients is essential for cost reduction and improving customer satisfaction. In particular, accurate forecasts are required to address the fluctuating demand caused by daily menus, events, and seasonal factors. Low accuracy in demand forecasting can lead to food waste due to excessive ingredient orders or decreased customer satisfaction due to stockouts. Deep Predictor was developed to solve these challenges. 【Usage Scenarios】 - Ingredient ordering operations - Demand forecasting by menu - Inventory management 【Benefits of Implementation】 - Reduction of food waste - Optimization of ingredient costs - Reduction of ordering workload

  • de-tabunnsekinonagare.jpg
  • 予測の流れ.jpg
  • Software (middle, driver, security, etc.)
  • Other operation management software
  • prediction

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AI Demand Forecasting Deep Predictor for Wholesale Industry

Achieving delivery efficiency with AI! A demand forecasting service that can be used by on-site personnel.

In the wholesale industry, variations in order quantities by client and demand fluctuations due to seasonal factors pose significant challenges in maintaining optimal inventory levels. Inadequate demand forecasting can lead to lost sales opportunities due to stockouts, as well as increased storage costs and waste losses from excess inventory. AI predictive analysis Deep Predictor conducts highly accurate demand forecasting based on past sales data and transaction trends, supporting the optimization of inventory, ordering, and sales planning in the wholesale sector. 【Use Cases】 - Demand forecasting by product and client - Calculation of optimal inventory and order quantities - Improvement of accuracy in sales and purchasing plans 【Benefits of Implementation】 - Reduction of stockouts and excess inventory - Improvement of inventory turnover rates - Enhancement of profit margins and cash flow

  • de-tabunnsekinonagare.jpg
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  • Software (middle, driver, security, etc.)
  • Other operation management software
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【Effects of Introducing Deep Predictor】Sales Forecast for New Store Openings

Accurately predict sales after new store openings to avoid withdrawal risks. Accelerate decision-making based on data-driven evidence.

One of the challenges that our no-code AI predictive analytics service "Deep Predictor" addresses is the "sales forecast for new store openings." By taking into account many factors such as past property data, market area data, seasonality, and the number of surrounding competitors, it enables more data-driven predictions. Additionally, through AI analysis, it can uncover relationships between sales and demographics, helping to identify factors for successful store openings and discover new hypotheses for store opening strategies. 【Required Data】 ■ Property Data ■ Market Area Data ■ Seasonality ■ Competitor Data *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis
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Trends and Predictions of Smart Devices

Analyzing the latest smart devices in the fields of wearables, robotics, and vehicles!

The market research report "Smart Devices: Trends and Forecasts" by the French market research company IDATE analyzes the latest smart devices, focusing on wearables, robotics, and vehicles, and predicts future trends. ______ Main Topics  ̄ ̄ ̄ ̄ ̄ ̄ What are the devices of the future? What devices will drive 5G? Future devices Dynamics and trends post-2022 Cross-section analysis New priority issues Growing sectors 【Report Details】 Smart Devices - Trends and Forecasts Smart devices - Features and trends https://www.dri.co.jp/auto/report/idate/230928-smart-devices-features.html

  • Other network tools
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[English Research Report] 5-Year Forecast for Ethernet Switches for Data Centers

Comprehensive forecast of market trends for Ethernet switches for data centers.

The "Data Center Ethernet Switch - 5-Year Forecast Report" by Dell’Oro Group provides a comprehensive forecast of market trends in the data center Ethernet switch market. It includes analysis and data on revenue by customer type, as well as the following individual reports: - Analysis and data on revenue by customer type - Top 4 cloud service providers in the United States - Top 3 cloud service providers in China - Telecom service providers - Other clouds - Large enterprises or private clouds - Other companies This forecast report offers a comprehensive overview of market trends and includes tables covering manufacturers' revenue, port shipment volumes, and average selling price forecasts for various technologies.

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[English Research Report] Ethernet Adapters and Smart NIC 5-Year Forecast

The Ethernet adapter and smart NIC market is expected to exceed 16 billion dollars by 2028.

The Dell’Oro Group's "Ethernet Adapter and Smart NIC 5-Year Forecast Report" includes historical data on Ethernet adapters and Smart NICs from 2006 to the present, along with an overview of the market. It provides a table showing the revenue of Ethernet controller and adapter manufacturers, average selling prices, unit numbers, and port shipments by speed (1/10/25/40/50/100/200/400/800 Gbps), offering a comprehensive and detailed analysis of the market. This report also covers Smart NIC controllers and adapters.

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[English Research Report] Broadband Access and Home Network 5-Year Forecast

Broadband equipment spending increased for two consecutive quarters, up 5% year-on-year.

The "Quarterly Report on Broadband Access and Home Networking" by Dell'Oro Group provides a comprehensive overview of the broadband access market, featuring a table that covers sales by manufacturer, average selling prices, and port/unit shipment volumes for cable, DSL, and PON equipment. The targeted equipment includes Converged Cable Access Platforms (CCAP) and Distributed Access Architecture (DAA), Digital Subscriber Line Access Multiplexers (DSLAM) with technology-specific VDSL, VDSL Profile 35b, G.FAST, PON Optical Line Terminals (OLT), cable, DSL, PON CPE (customer premises equipment), Fixed Wireless Access (FWA) CPE, and residential WLAN equipment including mesh routers.

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[English Research Report] 5-Year Forecast for Routers and Switches for Service Providers

A table including forecasts for revenue related to speed and technology, port/unit shipments, and average selling prices, along with a 5-year forecast of market trends for routers and switches aimed at service providers.

The "Service Provider Router & Switch 5-Year Forecast Report" by Dell'Oro Group provides a detailed investigation and analysis of the service provider router and switch market from the present to the past. This report includes qualitative analysis and detailed statistics on manufacturing revenue, average selling price, unit and port shipments categorized by region, customer type, and use case.

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[English Research Report] 5-Year Forecast for Semiconductors and Components for DC Applications

Sales of GPUs and other accelerators are expected to increase at an average annual growth rate of 38% over the next five years due to AI development.

The "5-Year Forecast Report on IT Semiconductors and Components for Data Centers" by Dell'Oro Group provides a comprehensive and detailed analysis of the market, covering technologies such as accelerators, CPUs, memory, network interface cards (NICs), and storage drives like HDDs and SSDs, with tables detailing manufacturers' revenues and shipment volumes.

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Predict sales, inventory, and demand forecasts with AI, even without specialized knowledge!

No need for specialized data preprocessing or programming; AI predictions are possible for all types of data, including sales forecasts and inventory forecasts!

No specialized data preprocessing or programming is required; if you have a CSV file with date and numerical data, you can easily utilize it for various metrics such as sales, inventory, and demand forecasting. Additionally, if the forecasting accuracy is not as expected, you can improve it by adjusting various settings such as periodicity and amplitude mode. "Easy AI Development" 1. Develop a dedicated AI application for your company By developing based on AI application templates and focusing only on the necessary features, we achieve a low-cost solution that eliminates waste. We can also flexibly accommodate system integration and feature expansion. 2. Propose optimal AI utilization methods AI experts will listen to your challenges and objectives and propose the best AI tools and business improvement plans. You can feel free to consult with us even if you do not have a specific utilization image yet. 3. Clear cost structure and start at a low price We have established a clear cost structure for each function, allowing for a small start from 100,000 yen. By gradually expanding functions according to usage, you can proceed with implementation while reducing risks. [Service Site] https://career-survival.com/kantan-ai/

  • Business Intelligence and Data Analysis
  • prediction

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